Journal of Neural Transmission

, 114:1333

Detecting asymmetries in balance control with system identification: first experimental results from Parkinson patients

Authors

  • H. van der Kooij
    • Department of Biomechanical EngineeringUniversity of Twente
  • E. H. F. van Asseldonk
    • Department of Biomechanical EngineeringUniversity of Twente
  • J. Geelen
    • Department of NeurologyMedisch Spectrum Twente
  • J. P. P. van Vugt
    • Department of NeurologyMedisch Spectrum Twente
  • B. R. Bloem
    • Department of NeurologyRadboud University Nijmegen Medical Centre
Article

DOI: 10.1007/s00702-007-0801-x

Cite this article as:
van der Kooij, H., van Asseldonk, E., Geelen, J. et al. J Neural Transm (2007) 114: 1333. doi:10.1007/s00702-007-0801-x

Summary.

Cognitive processes can influence balance in various ways, but not all changes in postural performance can easily be identified with the naked clinical eye. Various studies have shown that dynamic posturography is able to detect more subtle changes in balance control. For patients with Parkinson’s disease (which is typically an asymmetric disease), changes in the symmetry of balance control might provide a sensitive measure of cognitive influences on balance. Here, we describe a new posturography technique that combines dynamic platform perturbations with system identification techniques to detect such asymmetries in balance control of two patients with Parkinson’s disease. Results were compared to those of six healthy controls. Our pilot data show clear asymmetries in dynamic balance control, even though patients themselves were not aware of this and had no subjective problems with stability or standing. We also found asymmetries in weight bearing, but the asymmetries in dynamic balance contribution were larger. Finally, asymmetries in weight bearing and dynamic balance in patients were not tightly coupled as in healthy controls. Future studies could incorporate this approach when examining the influence of mental decline on postural regulation.

Keywords: Parkinson; balance control; asymmetries; system identification; dynamic posturography

Copyright information

© Springer-Verlag 2007